Jonathan E. Gable
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
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- Protein Structure and Dynamics
- Epigenetics and DNA Methylation
- Lipid Membrane Structure and Behavior
Papers in
-
- Herpesvirus Infections and Treatments 3
- Trypanosoma species research and implications 2
- Cytomegalovirus and herpesvirus research 2
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- HIV/AIDS drug development and treatment 3
- Co-authors
- Diana E. Schlamadinger (5 shared papers)Judy E. Kim (5 shared papers)John J. Irwin (1 shared paper)Kathleen M. Giacomini (1 shared paper)Avner Schlessinger (1 shared paper)Ethan G. Geier (1 shared paper)Andrej Šali (1 shared paper)Hao Fan (1 shared paper)
- Journals
- Biochemistry (3 papers)Journal of Medicinal Chemistry (2 papers)Journal of the American Chemical Society (1 paper)Science (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jonathan E. Gable
15 papers receiving 469 citations
Peers
Comparison fields: 5 of 82
- Biochemistry 108
- Molecular Biology 266
- Microbiology 23
- Oncology 87
- Parasitology 20
Countries citing papers authored by Jonathan E. Gable
This map shows the geographic impact of Jonathan E. Gable's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan E. Gable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Gable more than expected).
Fields of papers citing papers by Jonathan E. Gable
This network shows the impact of papers produced by Jonathan E. Gable. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan E. Gable. The network helps show where Jonathan E. Gable may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Gable, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 158 | |
| 2 | 2009 | 61 | |
| 3 | 2008 | 44 | |
| 4 | 2011 | 34 | |
| 5 | 2008 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2023 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2009 | 19 | |
| 10 | 2014 | 16 | |
| 11 | 2024 | 16 | |
| 12 | 2022 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2009 | 7 |
About Jonathan E. Gable
Jonathan E. Gable is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Microbiology and Parasitology, having authored 15 papers that have together received 480 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), HIV/AIDS drug development and treatment (3 papers), Herpesvirus Infections and Treatments (3 papers), Protein Structure and Dynamics (2 papers), Biochemical and Structural Characterization (2 papers), Trypanosoma species research and implications (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Biochemistry (108 citations), Molecular Biology (266 citations), Microbiology (23 citations), Oncology (87 citations) and Parasitology (20 citations). Jonathan E. Gable has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Diana E. Schlamadinger, Judy E. Kim, John J. Irwin, Kathleen M. Giacomini, Avner Schlessinger, Ethan G. Geier, Andrej Šali, Hao Fan, Charles S. Craik and Katheryn M. Sanchez. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry, Journal of the American Chemical Society, Science and The Journal of Physical Chemistry B.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.